A look at OAuth Identity, SYS_CONTEXT, and Row-Level Security via OCI AI Database MCP Servers – how to protect your data based on end user identity, even when AI is in the mix!
How can we trust an agentic AI framework with the data in our Oracle AI Databases? Our new MCP Servers in OCI makes this much easier.
Better NL2SQL experiences with your AI Agents and your Oracle Databases are now available with better schema-information MCP Server tools with SQLcl.
Build a RAG pipeline so Agents can utilize your existing data for your business & tech challenges – with Oracle AI Database’s Vector Search feature.
Our Oracle Database AI Skills library has been updated! Here’s how to install them and get started with your favorite Agents.
Oracle REST Data Services makes it very easy for developers to interact via your Oracle Database via REST APIs. Here’s a quick application showing off the power of our automatic query parameter filters.
Having a go w/100+ new AI Agent skills for working with Oracle AI Database. Examples include finding worst performing SQL & over powered database accounts.
A quick look at how an AI Agent Skill can make frequent tasks go faster and more efficiently, e.g. SQLcl’s MCP Server & LOAD command to put CSV to a new table.
Oracle SQL Developer version 24.3’s (and 24.3.1) official support window has been updated. The ‘Support Ends’ time period has been changed to April of 2027.
You can now load your CSV data to new or existing Oracle AI Database tables with our handy wizard in Oracle SQL Developer extension for VS Code.